Required

- 5+ years experience building production grade streaming pipeline systems.

- Hands-on experience with a distributed streaming/messaging platform (Kafka + Flink/Spark or similar): topic and partition design, consumer group semantics, compaction, and schema-aware serialization.

- Production experience with a distributed stream-processing engine: SQL or DataStream-style jobs, state management, checkpointing, and operational debugging of long-running jobs.

- CDC ingestion familiarity — WAL or log-based change capture into a streaming platform.

- Demonstrated experience with SQL and schema design across relational sources.

- Demonstrated experience deploying and troubleshooting streaming workloads on a container orchestration platform — basic troubleshooting of deployments and running jobs.

- Track record shipping observable,



testable pipeline components — health checks, smoke gates, benchmark-driven validation.

- Ability to work independently on assigned roadmap items while coordinating with cross-functional partners on contract boundaries.

Preferred

- Direct, hands-on experience with Apache Kafka and Apache Flink

- Familiarity with Debezium CDC capture.

- Experience projecting streaming data into an OLAP or analytical serving engine (StarRocks, ClickHouse, Druid, Pinot, or similar).

- Awareness of Gov Cloud deployment constraints and data residency considerations.

- Experience with multi-tenant SaaS data workloads (tenant partitioning, hot-partition skew).

📌 Senior Data Platform Engineer (México)
🏢 E-IT
📍 México